11+ Valuation Jobs in Mumbai | Valuation Job openings in Mumbai

JOB DESCRIPTION:

Location: mumbai, bangalore, pune

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 8 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

For more details:

Website: www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: Wissen Technology

What you’ll be doing

• Lead the development of our across all phases of software and web development including ideation, prototyping, design, production, and maintenance.
• Work closely with founders and internal/external stakeholders to build products, tools, and services from scratch and deliver high-quality software solutions.
• Be actively involved in requirements gathering, customer interviews and the creation of robust product solutions.
• Brainstorm and lay the foundations of the technology and architectural roadmap as well as the development processes.
• Share your technical expertise to help the team make thoughtful and scalable design decisions and identify performance bottlenecks to troubleshoot quickly.
• Manage product development priorities, deadlines, and deliverables.
• Hire and manage a small team of engineers (internal/outsourced).
• Ensure high-performant and responsive web applications and websites.

Skills & Qualities we’re looking for

• Bachelor’s/Master’s degree in Computer Science (or equivalent experience).
• 4-7 years of experience as a full-stack developer (rare exceptions for highly skilled developers) at a fast-paced, preferably early / growth stage start-up.
• Proficient with frontend technologies - HTML, CSS, JavaScript & ReactJS/VueJS.
• Proficient with backend technologies - Java/NodeJs/Golang/Python/Ruby.
• Hands-on experience working with any cloud AWS/GCP/Azure/DigitalOcean.
• Knowledge of codebases and version control systems (Git).
• Well-versed with SQL database design & RDBMS concepts.
• Strong arithmetic reasoning, logical and analytical thinking skills.
• Strong knowledge of code quality maintenance and performance analysis.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Job description

We are looking for young and talented candidates for our Core team at Impact Guru.

Job Responsibilities:

Promotion & Engagement (Mall activities & promotional fundraising)

• Donor Acquisition and Retention through the Malls, Residential engagement and promotional activities.
• Donor acquisition from street, High foot fall areas.
• Regular Donation Validation.
• Properly issuance of the TEC (Tax Exempt Certificate) under 80G

Qualifications and skills:

• Good English communication skills
• Required Exp - Sales, Business development, fundraising, field job
• Freshers eager to learn are welcomed
• Strong command over regional language
• Enthusiastic & extrovert personality
• MS Office proficient.

Additional Perks:

• Daily work allowance over and above CTC
• Performance Incentives over and above target achievement
• Skill development & training opportunities

• Building interactive consumer data from multiple systems and RESTfully abstracting to the UI through a Node.js backend
• Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient systems

This profile will include the following responsibilities:

- Develop Parsers for XML and JSON Data sources/feeds

- Write Automation Scripts for product development

- Build API Integrations for 3^rd Party product integration

- Perform Data Analysis

- Research on Machine learning algorithms

- Understand AWS cloud architecture and work with 3 party vendors for deployments

Required Skills:

• Proven development experience on smartphone platforms.
• Hands-on experience on React Native Framework, including React JS, React Native, and JavaScript.
• Extensive programming experience with at least one programming language such as Swift, Java, JavaScript.
• Deep familiarity with iOS or Android development.
• Familiarity with RESTful APIs
• Familiarity with code versioning and CI/CD tools like Git, SVM, Jenkins.
• Must have worked on at least one app that is published in AppStores.

• Should be able to handle softwares like Illustrator & Photoshop for creating / resizing layouts, and image editing.
  Basic indesign knowledge would be an add on to make edits in the collaterals.
• Understanding the brand guidelines to select colours, imageries, and types.
• Understanding specifications such as dimensions, colour codes & resolution of images if required for print.